We are seeking a Senior Machine Learning Engineer to join our innovative team in Bengaluru, India. In this role, you will lead the development and implementation of cutting-edge machine learning solutions that drive our company's AI initiatives forward.
Design, develop, and implement advanced machine learning algorithms and models to solve complex business problems
Design, develop, and deploy machine learning pipelines using frameworks such as TensorFlow, PyTorch
Work with MLOps best practices (CI/CD, versioning, monitoring, retraining).
Collaborate with cross-functional teams to identify and prioritize machine learning opportunities
Lead the end-to-end machine learning pipeline, from data collection and preprocessing to model deployment and monitoring
Implement and monitor ML models in production (using tools like MLflow, SageMaker, or Vertex AI).
Optimize existing machine learning models for improved performance and scalability
Conduct research on state-of-the-art machine learning techniques and evaluate their applicability to our projects
Mentor junior ML engineers and contribute to the growth of the machine learning practice within the organization
Communicate complex technical concepts to both technical and non-technical stakeholders
Stay up-to-date with the latest advancements in machine learning and AI, and incorporate new techniques into our projects
Develop and maintain comprehensive documentation for machine learning models, algorithms, and processes
Collaborate with data engineering teams to design and implement efficient data pipelines for machine learning workflows
Participate in code reviews and ensure adherence to best practices in software development and machine learning
Contribute to the development of internal tools and frameworks to streamline machine learning processes
Master's or Ph.D. in Computer Science, Machine Learning, or a related field
5+ years of experience in machine learning or a related field
Advanced knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
Strong proficiency in Python, with experience in other programming languages such as R or Java
Expertise in deep learning frameworks such as TensorFlow or PyTorch
Solid understanding of statistical analysis, mathematics, and data structures
Experience with big data technologies like Hadoop and Spark
Proven track record of developing and deploying machine learning models in production environments
Strong skills in data preprocessing, feature engineering, and model evaluation
Familiarity with version control systems, preferably Git
Excellent problem-solving skills and attention to detail
Strong communication skills with the ability to explain complex concepts to both technical and non-technical audiences
Experience leading projects and mentoring junior team members
Keeps up-to-date with current trends and research in machine learning and AI
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
